James Jeffry Howbert

793 total citations
8 papers, 432 citations indexed

About

James Jeffry Howbert is a scholar working on Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, James Jeffry Howbert has authored 8 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in James Jeffry Howbert's work include Advanced Proteomics Techniques and Applications (3 papers), Epilepsy research and treatment (2 papers) and EEG and Brain-Computer Interfaces (2 papers). James Jeffry Howbert is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Epilepsy research and treatment (2 papers) and EEG and Brain-Computer Interfaces (2 papers). James Jeffry Howbert collaborates with scholars based in United States. James Jeffry Howbert's co-authors include William Stafford Noble, Charles H. Vite, Edward E. Patterson, Daniel Crepeau, Brian Litt, Benjamin H. Brinkmann, Vincent M. Vasoli, Gregory A. Worrell, Yi Yang and Maria Suni and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

James Jeffry Howbert

8 papers receiving 425 citations

Peers

James Jeffry Howbert

MB

CN

IMMUN

SPECT

PMH

Kenichi Kamijo Japan

Steven N. Baldassano United States

Jan Berkhout United States

Ruimin Wang China

Hannah Spitzer Germany

Thanneer M. Perumal United States

Tran Anh Vu Vietnam

Valentin Dinu United States

Weichen Song China

Haoyang Li China

Kenichi Kamijo Japan

James Jeffry Howbert

114 ×0.7

MB

131 ×1.1

CN

4 ×0.0

IMMUN

64 ×0.9

SPECT

86 ×1.3

PMH

Citations per year, relative to James Jeffry Howbert James Jeffry Howbert (= 1×) peers Kenichi Kamijo

Countries citing papers authored by James Jeffry Howbert

Since Specialization

Citations

This map shows the geographic impact of James Jeffry Howbert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James Jeffry Howbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Jeffry Howbert more than expected).

Fields of papers citing papers by James Jeffry Howbert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Jeffry Howbert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James Jeffry Howbert. The network helps show where James Jeffry Howbert may publish in the future.

Co-authorship network of co-authors of James Jeffry Howbert

This figure shows the co-authorship network connecting the top 25 collaborators of James Jeffry Howbert. A scholar is included among the top collaborators of James Jeffry Howbert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Jeffry Howbert. James Jeffry Howbert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Durham, Timothy, Maxwell W. Libbrecht, James Jeffry Howbert, Jeff Bilmes, & William Stafford Noble. (2018). PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition. Nature Communications. 9(1). 1402–1402. 51 indexed citations

2.

Lin, Andy, James Jeffry Howbert, & William Stafford Noble. (2018). Combining High-Resolution and Exact Calibration To Boost Statistical Power: A Well-Calibrated Score Function for High-Resolution MS2 Data. Journal of Proteome Research. 17(11). 3644–3656. 15 indexed citations

3.

Howbert, James Jeffry, et al.. (2016). Computer Modeling to Predict Cesarean Delivery in Term Nulliparas [28N]. Obstetrics and Gynecology. 127(Supplement 1). 122S–122S. 1 indexed citations

4.

Brinkmann, Benjamin H., Edward E. Patterson, Charles H. Vite, et al.. (2015). Forecasting Seizures Using Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy. PLoS ONE. 10(8). e0133900–e0133900. 59 indexed citations

5.

Howbert, James Jeffry, Edward E. Patterson, S. Matt Stead, et al.. (2014). Forecasting Seizures in Dogs with Naturally Occurring Epilepsy. PLoS ONE. 9(1). e81920–e81920. 95 indexed citations

6.

Howbert, James Jeffry & William Stafford Noble. (2014). Computing Exact p-values for a Cross-correlation Shotgun Proteomics Score Function. Molecular & Cellular Proteomics. 13(9). 2467–2479. 42 indexed citations

7.

Lu, Hailing, Gregory N. Dietsch, Yi Yang, et al.. (2011). VTX-2337 Is a Novel TLR8 Agonist That Activates NK Cells and Augments ADCC. Clinical Cancer Research. 18(2). 499–509. 134 indexed citations

8.

Pratt, Brian, James Jeffry Howbert, Natalie Tasman, & Erik Nilsson. (2011). MR-Tandem: parallel X!Tandem using Hadoop MapReduce on Amazon Web Services. Bioinformatics. 28(1). 136–137. 35 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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